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Literature DB >> 25559199

New paradigms for metabolic modeling of human cells.

Abstract

Abnormalities in cellular functions are associated with the progression of human diseases, often resulting in metabolic reprogramming. GEnome-scale metabolic Models (GEMs) have enabled studying global metabolic reprogramming in connection with disease development in a systematic manner. Here we review recent work on reconstruction of GEMs for human cell/tissue types and cancer, and the use of GEMs for identification of metabolic changes occurring in response to disease development. We further discuss how GEMs can be used for the development of efficient therapeutic strategies. Finally, challenges in integration of cell/tissue models for simulation of whole body functions as well as integration of GEMs with other biological networks for generating complete cell/tissue models are presented.

Entities: Disease Species

Mesh：

Year: 2015 PMID： 25559199 DOI： 10.1016/j.copbio.2014.12.013

Source DB: PubMed Journal: Curr Opin Biotechnol ISSN： 0958-1669 Impact factor: 9.740

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Cited

29 in total

1. Reconstruction and validation of a constraint-based metabolic network model for bone marrow-derived mesenchymal stem cells.

Authors: H Fouladiha; S-A Marashi; M A Shokrgozar
Journal: Cell Prolif Date: 2015-07-01 Impact factor: 6.831

2. Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism.

Authors: Jae Yong Ryu; Hyun Uk Kim; Sang Yup Lee
Journal: Proc Natl Acad Sci U S A Date: 2017-10-24 Impact factor: 11.205

3. Extensive weight loss reveals distinct gene expression changes in human subcutaneous and visceral adipose tissue.

Authors: Adil Mardinoglu; John T Heiker; Daniel Gärtner; Elias Björnson; Michael R Schön; Gesine Flehmig; Nora Klöting; Knut Krohn; Mathias Fasshauer; Michael Stumvoll; Jens Nielsen; Matthias Blüher
Journal: Sci Rep Date: 2015-10-05 Impact factor: 4.379

4. Networking in metabolism and human disease.

Authors: Leif Väremo; Jens Nielsen
Journal: Oncotarget Date: 2015-06-30

5. Modelling the effect of SPION size in a stent assisted magnetic drug targeting system with interparticle interactions.

Authors: Adil Mardinoglu; P J Cregg
Journal: ScientificWorldJournal Date: 2015-03-01

Review 6. Personalized Cardiovascular Disease Prediction and Treatment-A Review of Existing Strategies and Novel Systems Medicine Tools.

Authors: Elias Björnson; Jan Borén; Adil Mardinoglu
Journal: Front Physiol Date: 2016-01-26 Impact factor: 4.566

New paradigms for metabolic modeling of human cells.

1. Reconstruction and validation of a constraint-based metabolic network model for bone marrow-derived mesenchymal stem cells.

2. Framework and resource for more than 11,000 gene-transcript-protein-reaction associations in human metabolism.

3. Extensive weight loss reveals distinct gene expression changes in human subcutaneous and visceral adipose tissue.

4. Networking in metabolism and human disease.

5. Modelling the effect of SPION size in a stent assisted magnetic drug targeting system with interparticle interactions.

Review 6. Personalized Cardiovascular Disease Prediction and Treatment-A Review of Existing Strategies and Novel Systems Medicine Tools.

7. Genome-scale study reveals reduced metabolic adaptability in patients with non-alcoholic fatty liver disease.

Review 8. Kinetic Studies to Elucidate Impaired Metabolism of Triglyceride-rich Lipoproteins in Humans.

Review 9. Transcriptomics resources of human tissues and organs.

Review 10. Applications of Genome-Scale Metabolic Models in Biotechnology and Systems Medicine.